中国妇幼健康研究
中國婦幼健康研究
중국부유건강연구
Chinese Journal of Woman and Child Health Research
2015年
5期
925-927,937
,共4页
花静%朱丽萍%董海燕%吴擢春
花靜%硃麗萍%董海燕%吳擢春
화정%주려평%동해연%오탁춘
非医学指征剖宫产%影响因素%产科服务%供需双方
非醫學指徵剖宮產%影響因素%產科服務%供需雙方
비의학지정부궁산%영향인소%산과복무%공수쌍방
cesarean section for non-medical indications%influencing factors%obstetric service%provider and demander
目的:探讨在本地区特有的人口学、经济文化特征以及医疗保健水平下,非医学指征剖宫产的影响因素,以此为依据,制定“降剖”综合性干预策略和政策建议。方法自行设计调查表,分别在上海市助产医疗机构开展产科服务供需双方问卷调查,利用多水平Logistic回归模型,在控制可能混杂因素后,分析产科服务供(高水平变量)需(低水平变量)双方两个层面,探讨非医学指征剖宫产的影响因素。结果多水平Logistic回归模型分析结果显示,“医院定期对剖宫产手术指征进行质控”可减少非医学指征剖宫产的发生风险(OR=0.572,P<0.05);而“产妇怕痛”“怕分娩不顺再开刀吃二茬苦”“对分娩过程没信心和安全感”“家人、朋友推荐”和“认为手术更快捷安全”,更易增加非医学指征剖宫产的发生风险( OR值分别为51.045、24.161、11.909、1.729和37.330,均P<0.05)。结论根据研究结果,将推行产时适宜技术、加强促进自然分娩的健康教育以及调整孕产期保健费用等作为降低剖宫产率的政策建议。
目的:探討在本地區特有的人口學、經濟文化特徵以及醫療保健水平下,非醫學指徵剖宮產的影響因素,以此為依據,製定“降剖”綜閤性榦預策略和政策建議。方法自行設計調查錶,分彆在上海市助產醫療機構開展產科服務供需雙方問捲調查,利用多水平Logistic迴歸模型,在控製可能混雜因素後,分析產科服務供(高水平變量)需(低水平變量)雙方兩箇層麵,探討非醫學指徵剖宮產的影響因素。結果多水平Logistic迴歸模型分析結果顯示,“醫院定期對剖宮產手術指徵進行質控”可減少非醫學指徵剖宮產的髮生風險(OR=0.572,P<0.05);而“產婦怕痛”“怕分娩不順再開刀喫二茬苦”“對分娩過程沒信心和安全感”“傢人、朋友推薦”和“認為手術更快捷安全”,更易增加非醫學指徵剖宮產的髮生風險( OR值分彆為51.045、24.161、11.909、1.729和37.330,均P<0.05)。結論根據研究結果,將推行產時適宜技術、加彊促進自然分娩的健康教育以及調整孕產期保健費用等作為降低剖宮產率的政策建議。
목적:탐토재본지구특유적인구학、경제문화특정이급의료보건수평하,비의학지정부궁산적영향인소,이차위의거,제정“강부”종합성간예책략화정책건의。방법자행설계조사표,분별재상해시조산의료궤구개전산과복무공수쌍방문권조사,이용다수평Logistic회귀모형,재공제가능혼잡인소후,분석산과복무공(고수평변량)수(저수평변량)쌍방량개층면,탐토비의학지정부궁산적영향인소。결과다수평Logistic회귀모형분석결과현시,“의원정기대부궁산수술지정진행질공”가감소비의학지정부궁산적발생풍험(OR=0.572,P<0.05);이“산부파통”“파분면불순재개도흘이치고”“대분면과정몰신심화안전감”“가인、붕우추천”화“인위수술경쾌첩안전”,경역증가비의학지정부궁산적발생풍험( OR치분별위51.045、24.161、11.909、1.729화37.330,균P<0.05)。결론근거연구결과,장추행산시괄의기술、가강촉진자연분면적건강교육이급조정잉산기보건비용등작위강저부궁산솔적정책건의。
Objective To explore the influencing factors of non-medical indications for cesarean section under region-specific demographic, economic and cultural characteristics and level of health care, so as to make basis for developing a comprehensive intervention strategy to reduce the rate of cesarean section.Methods The survey among providers and demanders for obstetric services was conducted in obstetric medical institutions in Shanghai using self-designed questionnaires.The provider ( high-level variable) and demander ( low-level variable) of obstetric service were analyzed to explore influencing factors of non-medical indications for cesarean section by using multi-level Logistic regression model after controlling possible confounding factors.Results Multi-level Logistic regression analysis showed that “hospital conducts quality control of surgical indications for cesarean section regularly” may reduce the risk of cesarean section for non-medical indications (OR=0.572,P<0.05).“Being afraid of pain during child birth,” “fear of cesarean due to difficult birth and experience second pain”,“no confidence on delivery process and security”,“introduced by family and friend”and“considering cesarean as being more efficient and safe” increased the risks of cesarean section due to non-medical indications(OR value was 51.045,24.161,11.909,1.729 and 37.330,respectively, all P <0.05).Conclusion Based on the findings, launching production technology, strengthening health education and adjusting maternal health care cost would be considered as policy recommendations to reduce cesarean section rates.